DocumentCode :
3259486
Title :
Research on submicron measurement based on computer micro-vision
Author :
Jindong Yu ; Xianmin Zhang ; Liping Zhou ; Zhong Chen
Author_Institution :
Key Lab. of Precision Equip. & Manuf. Technol. of Guangdong Province, South China Univ. of Technol., Guangzhou, China
fYear :
2013
fDate :
26-30 Aug. 2013
Firstpage :
247
Lastpage :
252
Abstract :
To overcome hampers in applying computer micro-vision technology on submicron scale measurement, a new image enhancement algorithm is proposed. Combined with image deblur and wiener filter, as well as the snake model counter extraction, the measurement is well developed. Based on illumination-reflectance model and Center/Surround method, the Gaussian scale parameter is reasonably selected through maximizing the contrast average and minimizing the contrast variance among several windows. The enhancement algorithm can automatically balance the dynamic range compression and image information retaining. Experiments show that the measuring method can clearly observe the submicron scale small to 833nm and achieve little relative error for micron.
Keywords :
Gaussian processes; Wiener filters; computer vision; data compression; feature extraction; image coding; image enhancement; image restoration; Center/Surround method; Gaussian scale parameter; Wiener filter; computer microvision technology; contrast average; contrast variance; dynamic range compression; illumination-reflectance model; image deblur; image enhancement algorithm; image information retaining; snake model counter extraction; submicron scale measurement; Decision support systems; Manufacturing; Nanoscale devices; Retinex; Snake; Wiener; computer micro-vision; measurement; submicron;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Manipulation, Manufacturing and Measurement on the Nanoscale (3M-NANO), 2013 International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-1-4799-1210-0
Type :
conf
DOI :
10.1109/3M-NANO.2013.6737425
Filename :
6737425
Link To Document :
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